2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
  • Satellite Venue: Shenzhen, China (Postponed)


Special Sessions

Session Title Organizers
Provable Tensor and Matrix Methods for Sensing and Learning Yuejie Chi and Xiao Fu
Frontiers of Federated Learning: Applications, Challenges, and Opportunities Jie Ding, Salman Avestimehr, and Tao Zhang
Learning-based acoustic signal processing for stay-at-home applications in pandemic times Mingsian R. Bai and Woon-Seng Gan
Computer Audition for Healthcare (CA4H) Kun Qian, Rita Singh, and Bjorn W. Schuller
Processing Higher Order Network Data Elvin Isufi, T. Mitchell Roddenberry, and Michael T. Schaub
Machine learning in beyond 5G wireless networks Paolo Di Lorenzo, Emilio Calvanese Strinati, and Mattia Merluzzi
Model-Based Deep Learning in Signal Processing Nir Shlezinger and Yonina C. Eldar
Towards neuromorphic machine intelligence: spike-based representation, learning, and signal processing Malu Zhang, Jibin Wu, and Haizhou Li
Group Theory for Sensing, Imaging, and Learning Applications Kumar Vijay Mishra, Ali Pezeshki, and A. Robert Calderbank
Integrated Sensing and Communications for Future Cellular and Vehicular Networks Weijie Yuan, Yuanhao Cui, and Marco Di Renzo
Semantic and Interpretable Analysis in Multimedia Forensics Christian Riess and Luisa Verdoliva
Human centric active noise control applications Thushara Abhayapala, Dongyuan Shi, and Jihui (Aimee) Zhang
Signal Processing and Neural Approaches for Soundscapes (SiNApS) Woon-Seng Gan, Wenwu Wang, Yuki Mitsufuji, and Bhan Lam
Security- and Privacy-Preserving Signal Processing Techniques for Emerging Applications Zhongxiang Wei, Christos Masouros, and Sumei Sun
Graph-based Deep Learning for Communications Santiago Segarra and Mark Eisen
Signal Processing and Machine Learning for Respiratory Disease Analysis Jing Han, Cecilia Mascolo, and Björn Schuller
Signal Processing and Machine Learning for Energy Harvesting Communications Himal A. Suraweera, Bho Matthiesen, Bruno Clerckx
Quantum Machine Learning for Speech and Language Processing Yu Tsao, Pin-Yu Chen, Min-Hsiu Hsieh, and Chao-Han Huck Yang